SM Info Solutions — Data Engineering & AI/ML Consulting

What we build

Three layers, one platform

Every engagement moves data through the same discipline — from whatever state it arrives in, to something a business can finally rely on.

Raw

Data Engineering & Pipelines

Ingestion and orchestration built to hold up under real production load.

Batch & streaming ingestion
ETL/ELT pipeline design
Workflow orchestration
Legacy system migration

Refined

Lakehouse & Databricks Architecture

Unified, governed platforms that scale with the business, not against it.

Databricks & Delta Lake implementation
Unity Catalog & data governance
Performance & cost optimization
Platform migrations to Databricks

Trusted

AI/ML Enablement

Turning a governed data foundation into models people actually use.

ML pipeline & feature engineering
Model deployment & MLOps
Applied AI/ML advisory
Analytics enablement

Depth, not guesswork

Built on real delivery experience

Two decades across enterprise data platforms translates into judgment — knowing which architecture decisions actually hold up once something is in production.

Representative work

Migrated legacy on-prem and cloud data warehouses to Databricks Lakehouse architecture
Built governed batch & streaming ETL/ELT pipelines integrating enterprise SaaS APIs into Unity Catalog
Implemented GenAI/RAG pipelines using Vector Search, MLflow, and Model Serving
Delivered Power BI semantic models, row-level security, and executive dashboards
Automated cloud & Databricks infrastructure provisioning via Terraform and CI/CD
Established governance, lineage, and access-control frameworks across lakehouse platforms

Industries served

Healthcare & Pharma Distribution
Financial Services & Asset Management
Technology & Cloud Platforms
Semiconductors
Retail & Consumer Electronics

Technologies

Data & Lakehouse Platforms

Databricks
Unity Catalog
Delta Lake
DBSQL
Azure Synapse
Snowflake
Microsoft Fabric / OneLake

Cloud, DevOps & Infrastructure

Azure Data Factory
AWS (S3 / Kinesis / Lambda)
Terraform
Bicep / ARM Templates
Kafka
Event Hubs
Airflow
Azure DevOps
GitHub Actions
CI/CD

Engineering & Orchestration

PySpark / Spark SQL
Scala
Python
dbt
REST APIs

AI/ML & GenAI

Mosaic AI
MLflow
Model Serving
Vector Search / RAG
Azure ML
Spark MLlib

BI, Databases & Governance

Power BI
SSRS / SSAS
Tableau
T-SQL / PL-SQL
Oracle
Cosmos DB / MongoDB
Azure Purview
Erwin / Visio

Certifications

Databricks Certified
Generative AI Engineer Associate

Microsoft Certified
Azure Data Engineer Associate

Microsoft Certified
Power BI Data Analyst Associate

Microsoft Certified
Azure Administrator Associate

Microsoft Certified
Azure Fundamentals

Snowflake Certified
SnowPro Core

Snowflake Certified
SnowPro Advanced Architect

Leadership

Srikanth Mannam

Enterprise Cloud Solutions Architect

20+ years modernizing enterprise data platforms across Azure and AWS.

LinkedIn ↗

About

A practice built around delivery experience, not headcount

SM Info Solutions is a boutique data engineering and AI/ML consulting practice, built around 20+ years of enterprise data platform delivery experience. Engagements are led hands-on, grounded in architecture decisions that have actually held up in production — not theory.

The focus is narrow on purpose: Databricks-based lakehouse architecture and the governed AI/ML work that depends on it being solid. That means fewer clients, and more depth on each one.

SM Info Solutions Inc is a California-based S corporation.

Data, engineered in layers you can trust.